IJIRCST

1	Title of the Article	A Study on Detection of COVID-19 in Lung CT Images Using Transfer Learning With Resnet Pre-Trained Model
2	Author's name	Rajeswari R : Associate Professor, Department of Computer Applications, Bharathiar University, Coimbatore, India (email: rajeswarilenin2711@gmail.com)
3	Author's name
4	Subject	Computer Science
5	Keyword(s)	COVID-19 CT image classification, transfer learning, ResNet pre-trained model
6	Abstract	COVID-19 has impacted the lives of each and every person in the world. Diagnosis of COVID-19 using imaging systems can be integrated with the standard Reverse Transcription Polymerase Chain Reaction (RT-PCR) test to perform the diagnosis more accurately. In this paper, transfer learning based method using a pre-trained deep neural network model viz., ResNet is proposed to classify COVID-19 computed tomography (CT) lung images. The pre-trained model is fine-tuned in order to make it learn the features specific to COVID-19 CT lung images. The proposed method is compared with the methods available in the literature. The results show that the proposed method is comparable to the existing methods.
7	Publisher	Innovative Research Publication
8	Journal Name; vol., no.	International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-9 Issue-2
9	Publication Date	March 2021
10	Type	Peer-reviewed Article
11	Format	PDF
12	Uniform Resource Identifier	https://ijircst.org/view_abstract.php?title=A-Study-on-Detection-of-COVID-19-in-Lung-CT-Images-Using-Transfer-Learning-With-Resnet-Pre-Trained-Model&year=2021&vol=9&primary=QVJULTU2NQ==
13	Digital Object Identifier(DOI)	10.21276/ijircst.2021.9.2.5 https://doi.org/10.21276/ijircst.2021.9.2.5
14	Language	English
15	Page No	28-34